We extract meaning from data. This helps our customers to excel in their business activities. We continually keep up with the latest developments in Big Data and Data Science. Doing so, we can assure new information and insights from more sources and with more precision.

We find patterns and correlations in data from all possible sources. We transform this data of various types into valuable information; as a basis for management decisions or software solutions that can improve your business in any way.

Among our employees, we have all the skills to build a big data environment from scratch all the way up to the latest analytics like deep learning and provide the data visualization you prefer.

Plow your data

Plow your data

We start by gathering all the data we need, and shape it in a processable form using tools such as Apache Kafka and Apache Spark. This allows for fast and easy processing of your data, and gives you an idea of the data quality in your systems.

Grow new information

Grow new information

We start exploratory analysis on your data using tools like R, Hadoop, Spark, Tensorflow and Keras. We discuss the results with you and reiterate using your input to develop the value you need for your business.

Harvest business value

Harvest business value

Once we discovered new insights from your data, we can help you putting it to use. We can integrate this new knowledge in your current IT systems, or build a brand new solution for you from scratch!

News from the farm

We love Data and Statistics

Some figures on InfoFarm

2014

Year founded

17

Team members

28

Joint Certifications

5

Millionth digit of pi

Data Science Profile

It is impossible for one person to master all the skills, technologies and techniques used in Data Science Research. That is why at InfoFarm we have a mixed skills team of people with expertise in mathematics, statistics, infrastructure, computer science and more. Together with the extensive domain expertise you have of your own business, we can tackle every difficulty that crosses our way.